DevOps Engineer Intern - PEY

Precision Labs; Toronto; Hybrid; CAD 45,000 - 65,000; Full time

Job summary

Cerebras Systems seeks a DevOps engineer to build and maintain the infrastructure required to run the Cerebras software stack. You will design scalable workflows for cloud and datacenter automation and work with product teams to monitor software performance on the Wafer Scale Engine, the world’s largest AI computer.

The role emphasizes automation, CI/CD, Python and shell scripting, and container tech with AWS cloud experience.

Qualifications

• Enrolled in a University program with a degree in Computer Science, Computer Engineering, or related disciplines.
• Experience in software development environments.
• Proficient in Python, shell scripting, Makefiles; strong triage and debugging skills; experience with Jenkins, Docker and Kubernetes; cloud experience at scale.

Responsibilities

• Build and improve automation for software build, test, deployment, and validation workflows across cloud and datacenter environments.
• Develop and maintain CI/CD pipelines that support fast, reliable software development and testing.
• Create scripts and internal tools in Python and shell to automate repetitive engineering and operational tasks.
• Work with Docker, Kubernetes, and other container technologies to deploy and manage development and testing environments.

Skills

Python

Shell scripting

Makefiles

CI/CD

Debugging

Education

University program in CS/CE

Tools

Docker

Kubernetes

Jenkins

AWS

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role:

You will develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. As a DevOps engineer, you will be responsible for designing efficient, scalable workflows for automating processes in the cloud and in our datacenter. You will work closely with the development and product management teams to monitor the quality and performance of the software that runs on the Wafer Scale Engine (WSE), the world’s largest and fastest AI computer.

Responsibilities

• Build and improve automation for software build, test, deployment, and validation workflows across cloud and datacenter environments.
• Develop and maintain CI/CD pipelines that support fast, reliable software development and testing.
• Create scripts and internal tools in Python and shell to automate repetitive engineering and operational tasks.
• Work with Docker, Kubernetes, and other container technologies to deploy and manage development and testing environments.

Required Qualifications

• Enrolled in a University program with a degree in Computer Science, Computer Engineering, or other related disciplines.
• Experience in software development environments.
• Proficient in Python, shell scripting, Makefiles.
• Strong end-to-end triage, debug, and troubleshooting skills.
• Experience with Jenkins and other CI/CD platforms.
• Experience with Docker, Kubernetes and container technology in general.
• Experience building services on top of AWS or other cloud platforms at scale.
• UI experience highly desirable.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.